A
Change of variables from input features to output
label-probability vector. Examples include the logistic regression
classifier [1]}, the linear least-squares
regression (LLSR) classifier [2]}, and the
multilayer perceptron (MLP) [3]}.
B
Partitioning of the input feature space into purer cells
whose samples are mostly from the same class. There are two major
families: 1) the support vector machine (SVM) [4]} and 2) the
decision tree (DT) [5]}, and its variants such as random forests
[6]} and XGBoost [7]}, [8]}.

